Senior Machine Learning Scientist, Advertising Incrementality
At a glance
Senior AI Research role at Appier. Taipei.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Measure how ads perform across traffic types, creatives and user groups to identify incremental impact
- Use machine learning and automation to improve campaigns where ads show strong incremental results
- Run online experiments and apply scientific methods to improve ad measurement and effectiveness
- Lead your project independently and work with product, backend and frontend teams on customer measurement solutions
What you bring
- A master's or doctoral degree in computer science, machine learning, statistics, econometrics or a related area
- At least three years in digital advertising measurement, including causal inference, incrementality, marketing mix modeling or a related method
- Working proficiency in Python and SQL, plus experience with a modern machine learning framework
- You can explain the assumptions and differences behind measurement approaches, and collaborate while taking ownership
Who this fits
This senior individual-contributor role suits someone who can independently lead measurement work and collaborate with product and engineering partners. The position is based in Taipei, Taiwan.
From the employer
About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
The Impact You’ll Make at Appier
Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.
What You’ll Work On
- Leverage scientific methods to improve ads measurement.
- Drive online experiments to continuously improve ads effectiveness.
- Own the project independently.
- Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.
What We’re Looking For
- Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
- 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
- Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills.